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The Economist cites Inglehart in piece on strength of populists

Ela and Budnick find higher unintended pregnancy risk among non-heterosexual women

Patrick, Schulenberg et al. find trends in frequent binge drinking among teens vary by race, sex, SES

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Highlights

Bailey, Eisenberg , and Fomby promoted at PSC

Former PSC trainee Eric Chyn wins PAA's Dorothy S. Thomas Award for best paper

Celebrating departing PSC trainees

Bloome finds children raised outside stable 2-parent families more likely to become low-income adults, regardless of parents' income

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Matthew D. Shapiro

Shapiro comments of the value of Twitter data for gauging unemployment

a PSC In The News reference, 2014

"The weird Google searches of the unemployed and what they say about the economy" - Washington Post. 05/30/2014.

This story looks at how researchers are using big data — culled from internet browsing histories and social media use — to predict unemployment rates, retail prices, home buying, and more, often before the U.S. releases its official estimates. Matthew Shapiro says: “Statistics serve us really well and are completely essential as benchmarks for where the economy is — or more precisely, has been. But we don’t have a lot of indicators that tell us what’s happening right now, particularly when the economy is changing direction.”

Researcher:

Matthew D. Shapiro

More Media Coverage:

The Guardian. What search engines tell governments about the economic here and now. 6/14/2014.

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